Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis
Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis
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Cham: Springer International Publishing
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Language
English
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Cham: Springer International Publishing
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Chaos theory, with its unique blend of randomness and ergodicity, has become a powerful tool for enhancing metaheuristic algorithms. In recent years, there has been a growing number of chaos-enhanced metaheuristic algorithms (CMAs), accompanied by a notable scarcity of studies that analyze and organize this field. To respond to this challenge, this...
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Full title
Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_0bdb2724bc6e41549067ed16f0978585
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0bdb2724bc6e41549067ed16f0978585
Other Identifiers
ISSN
2199-4536
E-ISSN
2198-6053
DOI
10.1007/s40747-025-01791-2
